Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

About me

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS). I am also involved in work on data infrastructure for the project, such as updated releases of the DGS corpus, public documentation, and implementation of the FAIR principles.

Together with colleagues I also run the Sign Language Dataset Compendium, which compiles information on digital corpora and lexical resources for sign languages.

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I also run Discwordle, a word-guessing game that uses only terms from Terry Pratchett’s Discworld.

  • Sign Language Linguistics
  • Natural Language Processing
  • Open Science
  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011

Recent Publications

(2024). Corpus à la carte – Improving Access to the Public DGS Corpus. In sign-lang@LREC-COLING 2024.

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(2024). Signs and Synonymity: Continuing Development of the Multilingual Sign Language Wordnet. In sign-lang@LREC-COLING 2024.

PDF Cite Dataset

(2024). Data Statement for the Public DGS Corpus (v3). Project Note AP06-2020-01.

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Research Associate
March 2019 – Present Hamburg, Germany
Doctoral Studies in Computational Linguistics
November 2013 – August 2019 Saarbrücken, Germany
October 2007 – November 2013